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It helps to know (and be assured with certainty) that if some data set follows the normal distribution pattern, its mean will enable us to know what returns to expect, and its standard deviation ...
Another way to interpret the normal distribution is to say that the probability of Apple’s return (at a range of -1.83 percent and 1.99 percent) falling within -1 and 1 standard deviation from ...
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isixsigma on MSNNORMSINV: Use Microsoft Excel for Your AnalysisKey Points NORMSINV is an Excel function used along with normal distributions. It allows you to conduct calculations faster ...
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isixsigma on MSNPlatykurtic Distribution: Working Beyond NormalityKey Points A platykurtic distribution resembles a normal distribution, with some differences. Typically, a platykurtic ...
The bell curve, or normal distribution, occurs throughout statistics.Like snowflakes, there are an infinite number of normal distributions. It is determined by the mean and standard deviation of ...
The shape of a normal distribution is a bell-shaped curve, ... highest part of the curve should go. The standard deviation tells you how skinny or wide the curve will be.
The normal distribution formula is based on two simple parameters—mean and standard deviation—that quantify the characteristics of a given dataset.
Standard deviation is a concept that's thrown... normal curve. Wikimedia Commons The normal distribution is an extremely important tool in statistics. The shape of a normal distribution is a bell ...
This assumes the fund’s returns follow a normal distribution or what is commonly called a ‘bell curve.’ In a normal distribution, 68% of values are within 1 standard deviation of the mean ...
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